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Risk and Return: Masters in Business with Matt Cherwin

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Risk and Return: Masters in Business with Matt Cherwin

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1520 segments

0:00

This week on the podcast, another extra

0:02

special guest. Matt Cherin is co-founder

0:04

and chief investment officer at Maric

0:07

Capital. He previously spent 16 years at

0:10

JP Morgan Chase and then a bunch of

0:11

years at uh Cityroup beforehand running

0:14

all sorts of spread markets, head of

0:17

securitized product, lots of CIO and

0:20

risk management titles. Uh I came to

0:23

know through um a live event we did at

0:27

Bloomberg last year. I found that his

0:29

approach to credit and trading is

0:32

absolutely fascinating and what MARA is

0:35

doing is really quite interesting. I

0:37

thought the conversation was brilliant

0:38

and I think you will also with no

0:40

further ado my conversation with Maric

0:43

Capitals Matt Sherwin

0:56

Matt Charin. Welcome to Bloomberg.

0:59

>> Thanks for having me. This is exciting.

1:00

That was kind of that was that was a

1:01

bigger windup than I was uh I expecting.

1:04

>> I like a big windup cuz it gives us an

1:07

opportunity to roll back to the

1:08

beginning and say, "All right,

1:10

bachelor's in economics from University

1:12

of Pennsylvania. What was the original

1:15

career plan?" I I don't imagine people

1:17

going to college and saying, "I want to

1:19

be the head of global spread markets."

1:21

>> Uh no. But that's super interesting

1:23

because um our oldest uh is a sophomore

1:26

in college now

1:27

>> and he's in the business school at

1:28

American and I was just talking to him

1:30

yesterday and he said I'm now in I think

1:33

they call it like finance for business.

1:35

I really like this new class. And I said

1:36

to him, that reminds me so well of when

1:40

I was in undergrad business school and I

1:43

did the first couple semesters of econ

1:45

and I hated it.

1:47

>> And

1:47

>> I had a similar experience with

1:49

>> and it was like, you know, I I shouldn't

1:53

have hated as much as I did, but at the

1:54

time uh it was ISLM curves, it was

1:58

supply, it was demand, etc. And it just

2:01

it felt it didn't feel very practical to

2:03

me and I didn't do very well in it. I

2:05

didn't go to class very often. I didn't

2:06

do very well. But then we got to kind of

2:08

the next semester which I think they

2:10

called finance 101 and was like

2:13

>> bond math discounted cash flows and I

2:15

was like oh this I like. Okay, I am in

2:17

the right place.

2:18

>> Well, it's much more realistic and

2:19

you're not dealing with homoeconomy

2:21

because that is this theoretical version

2:24

of humans.

2:25

>> Looking back on I wish I had listened a

2:27

bit more at some of those others. Um,

2:29

but you know, something I say maybe we

2:31

we'll get to is like it just a

2:34

recommendation I would give to other

2:35

people. It took me a little while to

2:37

realize what I was interested in, what I

2:40

was interested in being interested in.

2:42

>> And when I got into some of those

2:44

classes, kind of the more financy kind

2:46

of stuff, I was like, this I like this

2:48

makes sense. Uh, I want to learn more.

2:50

And I think that's kind of where it

2:52

starts. So I always wanted to get I just

2:53

like when there's, you know, numbers on

2:55

the page, it adds up to something.

2:56

You're trying to make money. It's

2:57

hopefully positive at the end. It might

2:59

be negative. It's pretty clear-cut.

3:01

>> Um, at least the goal is. And I always

3:03

like that. I always gravitated towards.

3:05

>> So, so economics way too abstract and

3:08

academic, but business and finance

3:11

practical, applicable, real life usage.

3:14

>> Yeah. Which is interesting too because I

3:16

also I'm a little bit like a this a

3:18

little exaggerated, but I'm a little bit

3:20

of like a history buff. So, like it was

3:22

interesting that that what didn't didn't

3:24

appeal to me because I do like kind of

3:26

the history of it. how did we get here?

3:28

And I think that's always something that

3:30

I'm like in this form as well. Um going

3:34

back to learn more about financial

3:37

systems, how money works, how they

3:39

thought it used to work, different

3:40

schools of thoughts, and I think it

3:42

really helps you understand where you've

3:45

been, where you are, where you're going.

3:47

So when you look back when you were

3:49

group treasurer or chief investment

3:51

officer at at the JP Morgan um division

3:54

you were you were involved in what sort

3:56

of lessons did you take away from that?

3:58

You're you're in the real world managing

4:02

real risk, real portfolios. H how did

4:04

that experience change how you perceive

4:06

risk?

4:06

>> Yeah, it's a great question. Um, and

4:09

I'll tell you, so I obviously I had a

4:10

career with a background in um, trading,

4:13

running trading teams both on the buy

4:15

side and the sell side. And it was

4:17

really that experience that this next

4:20

piece that was transformative for me and

4:24

um, you know, really brought us to the

4:26

point where um, my partner Derek Goodman

4:28

and I decided, let's form Merrick. And

4:30

you know, I'm sure we'll get into that a

4:31

bit, but what happened was I spent 20

4:34

odd years trading mortgages, rates,

4:38

corporate credit, high yield products

4:40

like that working with specialty finance

4:42

companies. Some that I worked with, some

4:44

I had a hand in running this kind of

4:46

universe. And then uh in late 2019, I

4:51

had the opportunity to move over and

4:52

this was different building, different,

4:54

you know, walled off key card, different

4:55

team, and be the CIO and the treasurer.

4:57

So this is now by side running the

5:01

capital of the firm, the investment of

5:03

the firm, hedging and managing

5:05

structural risk, lots of things wrapped

5:06

up in there. But the real thing was the

5:10

point in time where this happened was

5:13

late 2019, a few days later was the repo

5:16

crisis. If we remember that

5:18

>> when all of a sudden if you wanted to

5:20

borrow overnight against treasuries, it

5:22

cost you 10%.

5:24

>> Okay. Six months after that pandemic

5:27

breaks out. And why I bring that up is

5:30

so much changed in dramatic size at

5:34

rapid speed that I saw something I'd

5:37

never seen before. And it was how does

5:40

the financial system really work and

5:43

what does it mean and how does it apply

5:46

to everything that I've done? And it was

5:48

one of these moments where I felt like I

5:51

just went from being the captain of the

5:53

ship, you know, my own little thing,

5:54

right? We'll be a little expansive with

5:55

it. I went from being the captain of the

5:57

ship to going to work in the engine room

6:00

and seeing the actual gearing and how it

6:02

works and how it doesn't and what could

6:04

stop it from working. And you spend

6:06

years, you know, you pull a lever, you

6:08

think the boat goes faster, but you

6:09

don't know why. And you don't know what

6:11

could stop it from doing that. And you

6:13

don't know what could make it work more

6:14

efficiently. But now you go work in the

6:16

engine room and you see it and you

6:17

understand it. It was just this aha

6:19

moment like we're two guys with glasses,

6:21

right? So, you know, when you go to the

6:24

the you get a new prescription, you get

6:26

your new glasses, you put them on,

6:27

you're like, "Oh my god, I can see."

6:30

Right? And by the way, how was I walking

6:33

around the streets of Manhattan with

6:34

that old prescription, but now I could

6:36

see clearly. And honestly, 20 odd years

6:39

into my career, that's how I felt at

6:41

that that moment

6:42

>> in 2019.

6:43

>> Yeah. I would say like in early 2020,

6:45

about six months in, it was kind of

6:47

like, oh my goodness, it's coming

6:49

together now. I wish I wish I had known

6:52

this for the 20 years that preceded

6:54

this, but I felt like now I know nothing

6:57

and I'm starting to learn. So I have to

6:59

ask. So uh my experience with 2019 was

7:03

that wobble seemed to go by so quickly

7:07

compared to 0809 where you know to me

7:11

you saw a lot of warning signs first in

7:14

housing and then in securitized product

7:17

and then in construction and then you

7:19

know the market didn't peak till

7:21

October07 and the next 18 months were

7:24

kind of fun if you were on the right

7:26

side of it but if you weren't I it must

7:29

have been a blood bath. It sounds like

7:33

you derived more out of the 2019

7:36

experience than you were on a desk in

7:38

089. What sort of scar tissue did that

7:41

leave? H how informative was that

7:43

>> moment? It's really interesting the way

7:45

you kind of put those together. And um

7:48

so to set the table a bit 0708 when I I

7:51

got to JP Morgan late ' 06 07 0809 I was

7:56

in charge of um had a team we traded

7:59

asset back securities say credit cards

8:01

auto student loans um subprime mortgages

8:04

remember those?

8:05

>> Yeah. um CLOS's. So

8:09

really kind of like the center of what

8:12

ended up happening uh after that. And I

8:14

would say it was

8:18

so overwhelming at the time. I mean we

8:20

were there 2 in the morning handmarking

8:22

bonds. Okay. Walking across the street

8:25

between the two buildings like is there

8:27

more information? This company might buy

8:29

that company before the market opens.

8:32

What else can we do? Um the numbers were

8:35

huge. It was almost like a bit more than

8:37

you could process at the time. Um, but I

8:40

think each one of these became every

8:42

step there was like I understand what

8:45

I'm doing better now because but the

8:47

first thing I ever did was I started out

8:49

as a cash flow structure

8:50

>> and actually at that point in time um

8:53

the guy who ran the department was uh a

8:55

friend of mine named Bruce Richards who

8:57

went on to start Marathon and um has had

9:00

a fantastic career and we keep in touch

9:03

and he said I said I want to be a trader

9:05

and he said well I want you to be a

9:06

structure because if you learn how the

9:09

cash flow works, how the structure

9:10

works, then you'll be a better trader

9:12

later on. I think each piece helped me

9:14

understand the risk better and then the

9:16

system it sits in and that helps you

9:18

understand the risk better. And then

9:19

when you understand the risk better, you

9:21

understand the system it sits in better

9:23

and it builds and it builds on top of

9:24

each other. So I would say in '08 I

9:27

learned more in '08. We saw we felt like

9:31

we were the tip of the spear in like a

9:33

bad way and we could see it was getting

9:36

worse and it was accelerating and we

9:38

could see that people were maybe even

9:39

underestimating and I remember some

9:42

conversations around at the time um that

9:45

we were basically saying like think

9:47

bigger, think broader, think worse.

9:50

That's the context we're talking about.

9:52

But all of that helped me understand how

9:54

does my product I'm trading fit into an

9:57

investment bank? How's an investment

9:58

bank impact the system? Um, I think when

10:01

I went into 2019,

10:04

obviously a lot time had passed. I'd had

10:07

more experiences, etc. Um, I remember

10:09

sitting in a meeting. We're in 7:30 a.m.

10:12

traders meeting. This is uh with the CIO

10:15

group. Um, and we go around the table,

10:17

my, you know, rates lead, my credit

10:19

lead, etc. And the repo guys walk in and

10:22

they say, "Hey, we can lend against

10:25

treasuries at 10%. should we do more?

10:28

And I said, "Guys, I this is my third

10:30

day with this team." Okay. Um I'm the

10:35

person in the room who knows the least

10:37

about what you're talking about. But if

10:39

you need my authorization, you have it

10:41

because that sounds pretty great.

10:43

>> 10% yield against fantastic. My response

10:46

to you is

10:47

>> how much can we not can we do more like

10:50

how much can we do? Meaning more and

10:52

more. Um, and that just became the

10:55

beginning of like why did that happen?

10:58

How did we get here? What's the where

11:00

did it come from? Where does it go? And

11:02

I found that certain people knew certain

11:04

pieces but not the picture. And then

11:06

you're like it it it was just starting

11:08

to pull out

11:08

>> and that was your job to know the whole

11:10

picture.

11:10

>> It be it became it became the only it

11:13

became the focus of what I wanted to

11:15

know because unpacking that would help

11:18

me understand how do we get here? Why

11:20

does this happen? And by the way, what

11:22

are the pieces that put this all

11:23

together? Um, and how do we um how do we

11:27

take advantage of that? How do we

11:29

protect ourselves? But also, how do we

11:30

take advantage of that? So, it was this

11:32

the whole thing um was this one of those

11:35

types of things you say, I opened up a

11:36

door, three doors behind it, and I want

11:38

to keep going that direction. And it

11:40

felt to me like a purer and purer

11:43

version of everything I'd done in my

11:46

career. Getting closer and closer to the

11:48

source and pricing.

11:50

>> Really, really fascinating. One of the

11:51

things I think a lot of people don't

11:54

realize about JP Morgan Chase during the

11:57

financial crisis and I never uh doing

12:01

the research for Bailout Nation I never

12:04

got this really sourced the way I would

12:07

have liked to but JP Morgan Chase had

12:11

their own derivative scare a couple of

12:14

years earlier and the word was Jamie

12:17

just said clear all this junk off of our

12:19

balance sheet we don't we can't handle

12:21

this risk doesn't seem to be worth the

12:23

potential upside. So heading into 089,

12:26

they weren't dealing with the same sort

12:28

of um existential danger that Meil Lynch

12:34

and Wells Fargo and go down the list all

12:37

had all had to go through. They they

12:40

were ended up being an acquirer of

12:43

distressed assets, not a uh a seller of

12:47

distressed assets. Well, I think I mean

12:49

it was a tremendous place to work. I

12:51

worked with incredible people. I learned

12:53

a lot. Um, and I worked with great great

12:56

people that you're just part of a

12:57

terrific team. It's a fantastic place.

13:01

I learned something that became

13:04

transformative to everything I'd spent

13:06

my career doing. So, that's why we set

13:08

out to and I said, I want to do this.

13:10

And that's why we set out to build MER

13:13

when we said, you know, I recall Derrick

13:15

and I sat down one day and I said, "Let

13:18

me just here's how I think about

13:20

markets. I think about it in terms of

13:23

money, capital, credit, liquidity, and

13:26

regulation." That's my five. Money,

13:29

capital, credit, liquidity, regulation.

13:31

MCCLR.

13:32

>> How do you separate money from capital?

13:34

>> So, I think money to me is how do you

13:37

make it? How do you destroy it? How does

13:39

it move through the system? To me,

13:40

capital is a little bit more of how much

13:43

do you have? How do you measure it? How

13:46

much do you have? Are you making more?

13:47

Are you destroying it? Credit is really

13:50

how is it being formed? How is it moving

13:52

through the system? The financial system

13:54

is changing now.

13:56

>> It's very different than it was a few

13:57

years ago. We actually when we were you

14:00

know really trying to get our ideas uh

14:02

on paper we wrote a paper that we

14:05

outlined saying we described what we

14:07

thought was the new version of the

14:09

financial system. We said the financial

14:10

system is changing. You're de facto

14:13

recreating glass steagall. You have

14:16

gibbs if you come from some of this

14:19

framework you know are the globally

14:21

systemat systematically important banks.

14:23

systemically important banks. Think JP

14:26

Morgan, Wells, Bank of America, etc. Um,

14:28

we said there are the new GIBs, people

14:31

like Apollo, Blackstone, KKR, Black

14:34

Rockck. These are Aries. These are the

14:37

folks that are actually making credit

14:39

extension decisions in this economy.

14:42

Okay, you have the traders like Citadel

14:44

Securities,

14:46

uh, Jump, Jane, some of these other

14:47

names everybody's familiar with. This is

14:50

disagregating the financial system and

14:52

putting it into different buckets. So

14:54

basically we think about where's it

14:57

coming from, where does it go, who wins,

14:58

who loses, what are the flywheels here.

15:01

Um this is a process that we apply to

15:04

everything we do. Some of the guys on

15:06

the team call it MC Clear um MCCLR. It's

15:10

the lens that we look at because we

15:12

believe money, capital, credit,

15:15

liquidity, and regulation drives

15:17

economies, markets, and prices. And then

15:20

you can really start to understand

15:22

monetary policy, real estate, housing,

15:27

um the types of specialty finance

15:29

companies, we've talked about, consumer.

15:31

So, this to me actually explains how it

15:35

all works and we apply that. It's a huge

15:38

addressable universe. Um, we trade

15:41

rates, mortgages, securitized products,

15:43

corporate credit, related equities. It's

15:45

an enormous addressable universe with

15:48

investors that have very narrow mandates

15:50

that transact at different points in

15:52

time and sometimes non-economically and

15:55

bound by potentially non-economic rules,

15:58

which means there are a lot of overlaps

16:00

that people don't take the advantage of,

16:02

and there's a lot of gaps that they

16:04

quite simply don't bridge. and the setup

16:08

for all of this, I think, um, and I've

16:11

seen some stuff. Um, a lot of your, um,

16:14

your your listeners have, um, seen quite

16:17

a bunch of stuff. We've seen things go

16:19

right. We've seen things go wrong.

16:21

This is one of the best setups we've

16:23

seen in a long time. And so, that's why

16:25

we went out to say, um, I saw some

16:28

interesting stuff. I learned some

16:30

interesting stuff. There's an

16:31

opportunity set that we want to

16:33

prosecute right now. And it is an

16:36

incredible time to do so. So we built

16:38

the team. Sorry, go ahead. I was going

16:39

to say I was just going to No, I'm

16:41

fascinated. I want to roll back to

16:43

something you said earlier, which was

16:46

GlassSteagall is sort of being backdoor

16:49

reapplied.

16:52

Is that a function of people being risk

16:55

averse or is that a function of people

16:57

just specializing in their own silo? So

17:00

you don't have, you know, glass deagle

17:03

for people who aren't uh economic and

17:06

policy wonks separated the FDIC

17:10

safe banks from the riskier investment

17:14

banks. And once that was repealed in the

17:16

late 90s, didn't cause the financial

17:18

crisis, but allowed all these banks to

17:21

merge and get bigger. And maybe it made

17:23

the crisis a little worse, but it I

17:26

don't I don't think of it as the

17:27

underlying cause. But um the idea that

17:31

the market is working its way back

17:34

towards that is kind of fascinating.

17:36

Let's address that.

17:38

>> Right. As you laid out like glass

17:40

seagull to say to oversimplify basically

17:43

said like you can hold deposits, you can

17:45

underwrite securities, you can trade

17:47

securities, things like that. Um and

17:49

there were rules.

17:51

Right now, there are like some rules

17:55

that say what you can and can't do, but

17:57

really there's a lot more that has

17:58

morphed into um what people like to call

18:01

private credit or we're going to extend

18:03

credit through these fashions or some of

18:05

the rules don't apply to this group. So,

18:08

we can trade the markets differently or

18:09

we can make markets in a way that maybe

18:12

um the big banks can't and then the big

18:13

banks say, well, we're viewed as super

18:16

safe because I would argue we are and

18:18

that has its advantages also. So it's

18:20

like recreated these artificial

18:22

boundaries. What is great for us and the

18:26

way we look at the world is we saw that

18:28

we see that we understand that we also

18:31

see and understand and think about all

18:33

day long and put it into our portfolio

18:36

construction and the the the risk that

18:38

we build. It's all up for grabs again.

18:41

Right. So, um, we've got Kevin Worsh

18:45

nominated to be the Fed chair and Mickey

18:48

Bowman is the vice chair for supervision

18:51

and they are, um, I don't know what what

18:55

the right adjective for it is, but

18:56

they're changing the rules and they're

18:59

pulling some of them down. And in my

19:01

opinion, people just don't understand

19:03

which of them matter and which of them

19:06

don't. and the market moves to place on

19:08

some that simply don't matter like its

19:11

lack of understanding of what SLR was

19:13

and how that worked and we don't need to

19:14

dive into that but to simplify they said

19:16

we're going to remove this rule and it's

19:18

a big deal and we at MARIA said you can

19:21

take it off it doesn't matter so

19:23

everything the market's doing in

19:24

reaction to that is a potential

19:26

opportunity for us

19:27

>> in other words people are overreacting

19:29

to a regulatory change that isn't

19:32

significant long term

19:33

>> in that example yeah

19:35

>> really interesting

19:36

Yeah. Are we in all that unique a period

19:40

of time? Is the opportunity set that

19:43

much greater than what we typically see

19:45

in the normal? You know, this is a

19:47

little more geopolitically volatile

19:50

administration than than even the

19:52

previous Trump administration. Is that a

19:55

driver or is it the deregulation and

19:58

misapprehension of of what these rule

20:01

changes mean?

20:01

>> I think it's a combination of what's

20:03

going on. So we have we just kind of use

20:05

some little catchphrases among the team

20:07

that help us sort of like you know

20:09

gravitate around concepts or communicate

20:12

quickly. Um we say this is an

20:14

administration that's in the business of

20:15

being in business

20:17

>> and that's just a there's no opinion or

20:20

judgment one way or the other. It's just

20:21

it's just a statement. Um

20:25

what this environment is also we also

20:27

came up with something that we thought

20:29

was just made us chuckle one like it's

20:31

important to have a little bit of sense

20:32

of humor. We found our investors

20:34

actually do read the materials very

20:36

closely and they tend to have a sense of

20:37

humor which is good. But we created this

20:39

thing we called the one big beautiful

20:40

chart.

20:41

>> Uhhuh.

20:41

>> And we just said you know what they

20:44

really need they need rates to get down

20:47

and they need it to come down a lot more

20:49

than what the market and the curve has

20:51

already priced in because of how much

20:54

debt the country has, what it costs,

20:56

what they want to accomplish. So here's

20:57

what they need to accomplish and they're

21:00

going to do everything they can to it.

21:01

So you know we construct poor portfolio

21:03

we have a nar we have an investment

21:04

thesis we have a narrative everything we

21:07

put in the book has to fit that

21:08

narrative has to contribute to what

21:10

we're trying to achieve has to be the

21:12

best version of that or it has to

21:14

protect us from what could go wrong so

21:16

getting back to your question a little

21:17

bit we think it's a very business

21:20

forward environment uh business forward

21:22

administration

21:23

um we think that it is one that needs

21:26

rates to come down we are going to have

21:29

a new Fed chair in the middle of June

21:32

and there will he'll say all sorts of

21:35

things in the confirmation hearing but

21:36

really it will be um a catalyst

21:39

potentially for change uh in the middle

21:42

of the year and then we have a bias

21:45

within markets to strip back some of the

21:48

layers of of regulation and away from

21:51

whether you support that or not I can

21:53

tell you because I've been on the other

21:55

side of it the layers of process and

21:58

bureaucracy and spending your time

22:01

backsolving instead of what could we do

22:03

better when you change

22:06

what your goal is and how you're

22:08

pointed, you're going to get different

22:09

results. We think that combination is

22:12

spinning flywheels in the market now

22:14

that um in our opinion people are just

22:18

they're underestimating the power of

22:20

some of these flywheels.

22:22

>> Really, really interesting. Last

22:24

question before we talk a little bit

22:26

about Merrick. Um, in the old days, and

22:29

I was never a big believer in this, but

22:32

everybody else was, there was some

22:35

constraints on deficits and ongoing

22:38

government debt because the bond

22:40

vigilantes would punish you. The bond

22:43

vigilantes seem to have disappeared in

22:46

part replaced by the stock vigilantes

22:49

who any policy they don't like they just

22:51

sell off until they have their hissy fit

22:54

until they get their way and then okay

22:56

thank you very much and we're off to the

22:58

races again. Uh what do you think of the

23:02

you know 80s 90s era bond vigilantes? Is

23:05

that just ancient history? there's no

23:07

discipline on deficit spending anymore

23:10

or and by the way I think deficits are

23:12

not all that relevant look at Japan look

23:15

at the US history we've been warned

23:17

about deficits and they haven't caused

23:19

much of a problem most of this history

23:21

>> yeah I mean look I love the term and I

23:23

think we've seen some of those episodes

23:26

um last year we saw um around the

23:30

whatever we call liberation day in April

23:32

like there were a couple days where

23:34

treasuries and mortgages said like

23:36

enough. Okay, that's it. Um, and we're

23:41

either going to have one of those days

23:43

where they are giving stuff away or you

23:45

got to pull back. And I think what we

23:48

saw was the administration did pull

23:50

back. So I think in some level it's

23:52

still there. But part of what we do at

23:54

MARIC and what influences our thought

23:56

process is um big parts of this have

23:59

been really broken down. The markets are

24:01

so big now that it's been broken into

24:03

specific functions like people have a

24:05

thing to do and they do that in a narrow

24:07

mandate. We have a more flexible mandate

24:10

to us. The products, they're widgets.

24:13

They're tools in the toolbox for us to

24:15

achieve our goals and our investment

24:17

thesis and the portfolio risk and

24:19

construction and diversification that

24:21

we'd like to have. Um, but the markets

24:24

are hyper specialized in very very large

24:26

markets. So, you get some of those

24:27

episodes where it's like, uhoh, crowd of

24:30

trade, we got to get out. Um, I think

24:32

the question of

24:34

um, does the administration react to the

24:36

markets? Does the markets react to the

24:38

administration? It's something that

24:39

we've actually focused on uh, quite a

24:43

bit. We actually um

24:46

you know we wrote another piece in June

24:50

of 2025 that we called the warfed and it

24:54

was just about what could happen and we

24:56

sort of went through to your point like

24:58

the concept of risk-free rate and credit

25:01

spread are completely intertwined and

25:03

co-mingled now and they don't exist

25:04

separately. So I think that's some of

25:06

the concepts you're getting at like is

25:08

this um a problem for credit? Is it a

25:12

problem for rates? Are those the same

25:14

thing? Now, um, one of the most

25:17

interesting things and, um, I would just

25:20

say before we get back to your your

25:21

question is, um, what was really

25:23

interesting observation to us was during

25:25

the last government shutdown, whatever

25:27

mini version of that we're going through

25:29

right now, it was almost in the data was

25:32

not forthcoming and then V went down.

25:35

So, it was this sort of like a little

25:38

bit like if we don't know, maybe

25:40

nothing's happening. But what it also

25:42

was was a little bit to the to what you

25:44

were saying is

25:46

when things were a little less

25:47

hyperfocused,

25:49

they actually were a little less jumpy

25:52

around um small moves. And that was a

25:55

big takeaway um big takeaway for us.

25:57

It's a big thing you're going to hear

26:00

from Kevin Worsh if he ends up in the

26:03

chair seat. Um, you're going to hear a

26:06

long narrative from him for his time in

26:09

that seat of we need to step back from

26:11

the day-to-day and the minute-by-minute

26:14

information and think about the bigger

26:16

picture and the trend and where we're

26:17

headed and be a be a little more

26:20

forward-looking. I think that's the kind

26:21

of guidance that you will get from that

26:24

chair.

26:25

>> Really, really interesting. So, so let's

26:27

just start out with why you left the

26:30

comfort of a big shop to have the uh

26:33

headache of your own firm. What What's

26:35

the elevator pitch? What problem does

26:38

Mara Capital solve that couldn't be

26:40

solved at a large Wall Street bank?

26:44

>> Look, I think quite simply there are

26:46

some things that banks can do and some

26:48

things that banks can't do. There are

26:50

some things that they can do and that

26:51

they don't want to do. Um in my career

26:55

I've always been involved in these types

26:57

of markets being rates, mortgages,

27:00

curized products, corporate credit, the

27:02

equities related to that that around it

27:04

these types of specialty finance

27:06

operating companies and always felt that

27:09

when you have when you can apply the

27:12

various lenses to these products being

27:15

the trader lens, the structurer lens,

27:18

the operator lens, you understand it

27:20

better and you get the gearing and the

27:22

pieces. is and when you learn about the

27:25

financial system that it sits within

27:27

then you actually can understand but

27:30

take advantage of the risk and return in

27:34

a more elevated and efficient way.

27:37

>> I want to address that. Is it that the

27:39

big firms, the bigger banks were risk

27:42

averse and didn't want to take advantage

27:44

of it where they were prohibited on a

27:47

regulatory basis or when they're just

27:49

doing their macro risk assessment? Hey,

27:51

we'll go this far, but no further.

27:53

>> I I think it's even simpler than that.

27:56

Um, we look at the world through our

27:59

lens. We look at the world through the

28:02

Maric lens of money, capital, credit,

28:04

liquidity, and regulation,

28:07

which drives economies, markets, and

28:08

prices.

28:10

That helps us understand the drivers of

28:14

the capital markets that we sit within.

28:16

helps us understand monetary policy,

28:19

housing finance, commercial real estate

28:21

finance, understand both the gearing of

28:24

it. Then you can look at something and

28:25

you can say, "Okay, I'm looking at

28:27

Croup. I could buy it. I could sell it.

28:30

I could understand what they're doing in

28:31

the markets they have a footprint in,

28:33

what that means for the markets. Do I

28:35

want to buy that? So like where are the

28:36

flywheels? What does it spin to next?"

28:38

So everything we were doing was very

28:40

much about

28:42

what do we want to do? Because we see a

28:45

very large addressable opportunity where

28:48

we have a unique perspective, a defined

28:51

lens and a way of applying that to these

28:54

big liquid markets that we think very

28:57

strongly we can take advantage of in a

28:58

way that people simply haven't had the

29:01

opportunity to learn about and to

29:03

understand and apply to these products

29:06

with the type of flexible mandate that

29:08

we have. Which boiled down means we look

29:11

at the world a little differently.

29:14

These are big addressable markets which

29:16

have dislocations, volatility, and

29:18

opportunity all the time. And we can use

29:21

that combination to achieve what's a

29:23

very very simple goal. Improve the

29:25

return a little bit while reducing the

29:27

risk a little bit.

29:28

>> That's all anyone can ask for. Better

29:30

returns at lower risk. Um I'm I'm kind

29:33

of fascinated by the overall Merrick

29:36

investment philosophy. We'll get to but

29:38

let's let's start a little bit with

29:40

structure. I think of you guys as an alt

29:44

credit shop, but you also look a little

29:47

bit like a multistrat shop. Like a is it

29:50

kind of a hybrid? Like tell us about the

29:52

structure.

29:53

>> Um we just define what we do. Okay. We

29:57

are who we are. We do it the way that we

29:59

do. Um

30:03

we run we're right now we're running a

30:05

hedge fund um which trades these

30:08

products as like I said it's tools in

30:11

the toolbox as as widgets. We do it in

30:13

one collaborative portfolio. So our

30:15

setup our structure we've got an amazing

30:17

team. Um we have specialists in rates in

30:21

mortgages in non- agency mortgages and

30:23

ABS in credit in CLOS. Um I am on the

30:27

phone every day with traders and

30:29

salespeople myself. Um we trade it as

30:31

one book,

30:32

>> one portfolio. So it's really a

30:34

multistrat within a single um

30:39

expression.

30:40

>> It is what we think is the best

30:42

expression of the trade

30:44

>> or I shouldn't call it multistrat. It's

30:46

really multi-asset. It's a variety of

30:47

different credit assets all under one

30:50

umbrella

30:51

>> within our lane. Okay. Sticking to our

30:55

knitting. what we believe we know very

30:57

well. Um what we know we have a

30:59

differentiated insight into

31:02

>> and extracting from that. Okay. The team

31:06

is phenomenal. Um they have a ton of

31:09

buyside and sellside experience. They

31:11

work very well together. Um it's very

31:14

exciting to be I mean and and

31:15

additionally

31:17

doing this together like Derek and I

31:20

doing this together putting our name on

31:21

the door like Marrick is Matt and Derek,

31:24

>> right? Um because we spent way too much

31:27

time trying to think of what's a clever

31:29

name.

31:30

>> They've all been taken. Good luck in New

31:31

York.

31:32

>> Means, you know, alpha extraction in

31:35

Sanskrit or some something, you know.

31:37

And um Derek's wife one day was like

31:40

enough. It's Marrick. Matt and Derek now

31:43

go do some real work. And I think she

31:45

said in a little bit more of a spicy

31:47

way. Um but we were like, "Yeah, that

31:49

could work. All right, let's do that." I

31:51

think just a little footnote, if you've

31:54

ever incorporated an LLC or any other

31:56

entity in New York State, every Greek

31:59

and Roman god, every Babylonian god,

32:02

every cereabus, name the creature from

32:05

mythology, it's either a fund or an LLC,

32:09

they're all they're all taken. It's

32:10

astonishing.

32:11

>> But the real point I I I wanted to make

32:13

also um that I don't want to lose is

32:16

this is putting our name on the door.

32:18

Okay? It's our name. It's our reputation

32:20

because and that really cemented it for

32:22

us. That was something we really wanted.

32:24

I took some time off and which was

32:26

fantastic and I met some of the most

32:28

amazing and interesting people in the

32:29

world. When you're unaffiliated, people

32:32

speak to you in a different way because

32:34

they have no one to talk to. Okay. I sat

32:37

down with the CEO of one of the world's

32:38

largest pension fund uh sovereign wealth

32:40

funds and we had and I'd never met the

32:43

person before. We had an hourlong

32:44

conversation

32:46

because

32:48

he just needed to talk to someone and I

32:50

learned a lot in that and I met some of

32:52

the most interesting people in venture

32:53

cap in um alts in private equity etc.

32:57

And it was just more way of learning

32:58

parts of the system but it got to the

33:00

point where after my you know academic

33:03

wander through the wilderness I was like

33:05

okay you know what um this at the time

33:07

we had three teenagers living at home

33:09

and it was an amazing time. I used to

33:10

always say you should be able to retire

33:11

in your 40s and go back to work in your

33:13

50s. Like that's the way business should

33:14

work. Um obviously that's a luxury that

33:17

very few have. But um

33:21

I was getting to the point where I was

33:23

like, "Okay, I feel great. I want to do

33:24

this. I miss markets. I love this. I

33:26

want to get back to it and I want to do

33:28

it in the way that I want to do it."

33:30

>> How long of a gap was that between

33:32

>> I took like about a year off. You know,

33:33

it's a you know it's a riot. So in our

33:36

deck, we put a little timeline of my

33:39

experience and Derek's experience and

33:41

just to help people understand who

33:42

hadn't met us, who we are.

33:43

>> Uhhuh.

33:44

>> And at the very end, I put, you know,

33:46

this my background simple. I was here

33:48

for 10 years. I was there for 16 years.

33:50

And then we put like a little one-year

33:53

nugget on the end of the timeline that

33:54

just said chilling with no G. No G. Just

33:58

C H I L L I N.

34:00

>> Right.

34:00

>> I don't remember. very unw wall street

34:04

sort of

34:05

>> thing. It was like our 900th version of

34:07

the deck and we were just getting a

34:08

little punchy and we're like it made us

34:10

laugh. Okay, you got to have a sense of

34:12

humor. It made us laugh. So we're like

34:14

this is going in.

34:15

>> Every investor brings it up. They bring

34:18

it up and they love it. And you know

34:19

what to us it's like wow you are reading

34:23

every part of the deck and also it's

34:25

nice to know you have a sense of humor.

34:27

But getting back getting back to it was

34:29

like

34:29

>> people this is always shocking people

34:32

read the footnotes.

34:33

>> Oh yeah that's been a big learning for

34:35

us. They read it. Um so when we were

34:37

doing all this you know my wife was like

34:40

yeah why would you want to do something

34:43

for anybody else?

34:45

>> And I thought to myself exactly what are

34:47

we going to work harder at? What are we

34:49

going to make sure succeeds? the thing

34:51

that we put our name on the door, our

34:53

reputation that we believe

34:56

other people don't get it, that we

34:59

believe is the right way to approach

35:01

these markets that we believe can

35:03

extract from a setup is which is one of

35:06

the best that we've ever seen. So if you

35:09

tick all those boxes,

35:12

why would you do it for anybody else?

35:14

>> Huh. Really, really intriguing. So it's

35:16

2026. I'm legally obligated to ask how

35:20

do you use artificial intelligence in

35:22

research, portfolio construction or

35:24

operations at Meritt Capital?

35:27

>> Sure. I would I was make two two points.

35:29

I'm an AI optimist. That's not one of my

35:31

two points. So that doesn't count.

35:33

>> Um we use it every day. We build stuff

35:36

more quickly. We build our own tools and

35:38

we build them more quickly than we ever

35:40

could before. You know, the guys on the

35:41

team, they're building stuff at their

35:43

desk in a week that would have taken a

35:45

year to do somewhere else, literally.

35:47

And I know because I've been in that.

35:49

And then once you built it, it would

35:51

have taken like six months to get

35:52

approval to release it into your s etc.

35:55

This is like light speeded versus what

35:57

we used to do. Now

36:00

changing a little bit of how you frame

36:02

that question. Um AI is a really really

36:06

interesting um thing in financial

36:09

markets as well. Okay. So I don't think

36:12

we're there yet, but we're going to get

36:13

to a place where people are using it for

36:14

risk management. They're using it for

36:16

compliance. are using it for KYC. Put

36:18

all that aside. The most interesting to

36:20

me right now is we look at the AI capex

36:23

boom

36:24

>> and we say here's a product that is

36:27

commercial real estate with securization

36:30

technology around it. You're talking

36:31

about where is it? Is it built? If not,

36:34

how long is it going to take to build

36:35

it? Who are the tenants? How long are

36:38

the leases? What are they paying? What's

36:40

it worth when it's all done? Is there

36:42

residual risk like you have in an auto

36:44

lease?

36:46

only some of it comes to the securitized

36:49

market because it's just not that that

36:51

market is not big enough for it, right?

36:52

So it comes to the corporate bond

36:53

market. So that to us is like that's the

36:57

type of opportunity that piques our

37:00

interest where we say um this is

37:03

something that looks like ABC

37:07

and being wrapped up and put into a

37:10

different market that is asking one,

37:12

two, three. And those are good

37:13

questions, but it's really like put it

37:16

all together, look at all the factors.

37:18

What are the additional? Are you getting

37:20

more structure? Are you getting less?

37:22

Are you charging for the risk? Are you

37:24

paying away for it? So the AI capex boom

37:26

to us is actually like a source of very

37:30

cheap risk for us to look at. And each

37:32

one has a little bit of different flavor

37:33

and we're very opinionated about which

37:34

ones we like.

37:35

>> Huh. It sounds It sounds really

37:37

fascinating. It also sounds like um

37:40

anytime there's a novel area, the

37:43

opportunity for mispricing seems to

37:46

really

37:47

>> there's that there's that um we look at

37:50

some of those firsttime issuers. We have

37:52

like we have some things in the book. We

37:54

have something called the Northstar

37:55

playbook,

37:56

>> which is what are companies and bonds

37:59

that have clear missions and objectives

38:01

that they can execute on that are

38:03

aligned with us with the instrument that

38:05

we have or misaligned or that they're

38:07

not able to execute. Um, but some of it

38:11

it's actually not just about the novel

38:13

structures. Let's look at agency

38:15

mortgage back securities. Those have

38:17

been around for a long time. Okay.

38:19

couple weeks ago tweet from the press or

38:22

whatever we call a post on Truth Social

38:24

4:26 PM. I've instructed my

38:27

representatives to buy 200 billion of

38:29

agency MBS. Boom. Bomb in the agency

38:33

mortgage back. This is a there are it

38:37

billion 12 trillion of these things

38:39

outstanding in the agency mortgage

38:41

market. It's nine trillion hundreds of

38:43

billions of it trade every day. And that

38:46

was a aftermarket

38:48

post tweet. Um

38:51

complexity event. So then

38:53

>> are you out buying into that that rise

38:56

to take advantage? Are you are you a

38:58

price taker or a price maker? What are

39:00

you doing when that that's happening?

39:01

>> It's both. We look instantly like what

39:03

does this mean? What was our

39:04

expectation? Now in that instance we

39:07

expected the GSC's who will be the ones

39:09

who actually buy. We expected the GSC's

39:11

to be buyer.

39:13

I think our view was a little bit at the

39:14

high side or out of consensus. Even we

39:16

thought this is going to be a support

39:18

mechanism for this market over the

39:19

course of the year. Fanny and Freddy are

39:21

going to buy a lot of this stuff

39:22

>> assuming they haven't already started.

39:24

>> Well, they had been and that's a great

39:25

point. They had been but buying 200

39:28

billion with like an aftermarket tweet

39:30

and nobody knew like is it going to be

39:31

200 and then another 200? Are you going

39:33

to start buying are you going to buy 40

39:35

tomorrow? How's this all going to work?

39:37

Um this exceeded even our expectations

39:39

and you saw right away. Um, I think we

39:43

were positioned for that type of event.

39:45

Um, we were positioned to take advantage

39:47

of some of the policy risk as opposed to

39:50

get hit by some of the policy risk. You

39:52

could see that um, there was a massive

39:54

short covering rally right after that.

39:57

Um, and you could see that that wasn't

39:59

necessarily people's expectations and

40:01

how they were uh, how they were set up

40:03

for.

40:04

>> I have I have a mortgage related

40:06

question to this, but I'm going to save

40:07

it to the next segment. So, we were

40:09

talking earlier about the Trump tweet uh

40:13

directing the GSC's to buy $200 billion

40:16

worth of agency paper. You would have

40:18

thought that should have sent yields

40:20

plummeting and mortgage rates down,

40:23

which would stimulate the housing

40:25

market. I assume part of the motivation

40:27

for that tweet and for that purchase.

40:30

What What's going on in that market? And

40:32

why does it seem so difficult to drive

40:36

rates lower? Right. That's a great

40:39

question. And as silly as it sounds,

40:41

like 200 billion, it's just not enough.

40:43

>> Pocket cash, right? Walking around

40:45

money.

40:47

>> That's one way.

40:48

>> I mean, in a 12 trillion market, 12

40:50

trillion, it's not even 1%.

40:52

>> Yeah. If you're if you are if you've got

40:54

35 trillion in treasuries outstanding

40:56

and Yeah. Yeah. Um it's a big number and

40:59

it moves the needle. But what they they

41:02

really want to move it and keep it

41:05

there. Like that's a little bit of the

41:07

hard part because don't forget that the

41:09

Fed owns 2.2 trillion. So they're going

41:12

to buy 200 billion.

41:15

Didn't give a lot of information and

41:17

that sort of helped them in that moment.

41:19

The lack of information after probably

41:22

led some of it to kind of like bleed out

41:24

and unwind a bit. But the Fed owns 2.2

41:26

trillion and those are paying off and

41:29

that's approximately 180 billion a year.

41:33

So then you start to think about like

41:34

well if the rate moves and mortgage

41:37

prices go up are some of the money

41:39

managers just going to sell a hundred

41:42

billion over time and do you kind of

41:44

neutralize it? So I think it's helpful.

41:46

Um it's indicative here's the real

41:49

takeaway for us. Okay. So at that moment

41:51

it's how do we trade this? What's the

41:54

price? What's the next step? But then

41:55

we're really thinking from there like

41:57

what does this mean? What's going to

41:59

happen next? Um and sort of

42:02

coming full circle. What it really does

42:04

is show you how hard they're going to

42:06

try to drive the mortgage rate down to

42:10

drive rates down overall to um sign up

42:13

for an agenda and a plan to get rates

42:17

down. Okay. So, some of it is what do we

42:20

do in that specific market and some of

42:21

it is how is it informing our view of

42:24

the bigger picture. So, you guys have

42:26

two

42:28

I I don't want to say conflicting, but

42:30

somewhat different

42:33

um risk factors you're juggling with.

42:35

Obviously, when you buy paper, you're

42:36

thinking long term, and we want to watch

42:39

this play out to our broader thesis, but

42:42

at the same time, you're actively

42:44

trading on the short term.

42:47

>> How much do these complement each other?

42:49

or do you ever find yourself long in one

42:53

duration of the portfolio and short in

42:55

another? How do you how do you balance

42:56

this out?

42:57

>> Yeah, I mean we have longs and shorts

42:58

across the book within mortgages, within

43:00

credit. Um we there we're you know long

43:03

what we like and short what we don't to

43:05

keep it super simple. Um or long what

43:08

helps uh contribute to our thesis or

43:11

protect and vice versa and you know

43:13

protect the convexity profile that we're

43:15

looking to achieve. Um we are we trade

43:18

every day. We are active in these

43:21

markets. It's part of more of a sort of

43:23

a medium-term um thought process how

43:26

they're going to play out, but every day

43:28

is iterating on that. Is this still what

43:31

we think? Are we positioned with the

43:33

best version of it? Do we have the bonds

43:35

that are going to contribute to what we

43:38

are trying to achieve? Like right now,

43:40

we're very focused on the flywheels that

43:43

exist within financing markets. And if

43:46

you think about what does that mean?

43:47

Okay, so rates come lower. We tal rates

43:50

go lower. We talked about that a little

43:51

bit. But credit spreads are also really

43:54

tightening. And when rates are lower and

43:57

credit spreads are tighter tighter, your

43:59

cost of borrowing has gone down means

44:01

you can refinance all sorts of assets.

44:04

It means some assets are even at that

44:06

point in time worth more valued highly.

44:09

Now that it's worth more, you've got a

44:11

lower LTV loan that you could take out

44:13

an even tighter credit spread on. And

44:16

how do these spin and what is this? So

44:18

this is very much what we're thinking

44:19

about now. I think the market completely

44:22

underestimates the power of those

44:24

flywheels and what it can be achieved.

44:27

So we that is one of we look at our

44:30

portfolio and say we want to have about

44:31

20 trades in it. And a trade is not one

44:34

line item. A trade could be 30 line

44:36

items. But the flywheel is a trade. It's

44:39

a little bit of a maybe even a bigger

44:41

higher order one. But we look at what is

44:45

happening at that moment. Is there

44:48

something to take advantage of? But also

44:51

what are the ripple effects of what's

44:53

happening in that moment and what does

44:55

the market need to do? What is it going

44:57

to do? Does it understand this? And then

45:00

we unpack it and say like where's

45:01

where's the opportunity? So coming back

45:03

to what we talked about, we believe when

45:06

you look at the world through this lens.

45:09

>> We look at markets through the Maric

45:12

lens

45:14

that the lack of connections made

45:16

through these markets and the lack of

45:17

extracting from some pretty obvious

45:19

pockets are an opportunity an o like we

45:24

talked about to improve your return and

45:27

reduce your risk. And it's a process. So

45:30

it's just as much a process in a machine

45:34

through which you're extracting alpha

45:36

from from the market. We have our views.

45:38

We hope to be right. It's also it's a

45:42

process through which you work through

45:44

these markets that you extract all the

45:47

time. And the mandate is pretty clear.

45:48

Like as I think of it, the mandate's

45:50

very clear. You need to make money when

45:52

markets go up and you need to make money

45:54

when markets go down.

45:57

Every day, every month, every quarter,

45:59

every year. and you probably won't, but

46:01

that's the mandate that you're going

46:03

for. And it's it's quite simple when you

46:04

frame it out that way.

46:05

>> You mentioned in 2019 there was a sea

46:08

change in how you perceived what was

46:10

happening in the market and how

46:12

different that had become. How does that

46:15

affect how you look at and define risk?

46:18

It it risk definitions have obviously

46:21

changed over your career, but 2019 was

46:24

such a sea change. What's different

46:26

about managing risk today? Yeah, I think

46:30

I believe managing risk at scale is a

46:32

skill.

46:34

Okay,

46:36

you have your numbers and you want to

46:37

know what those are and those are

46:39

indicators and those are starting

46:40

places. VAR is a number and a starting

46:43

place and an indicator. Stress is a

46:46

number. DV1, CSO1, these are we I like

46:50

to look at the world in a stressbased

46:52

framework and we create a bunch of

46:55

different stresses. Some are quite

46:56

simple. Um, rates go up, rates go down,

46:59

credit crunch, a flight to quality. Some

47:01

we had our little like, you know, we're

47:04

getting a little punched. We have one we

47:05

call QE for Eva and Eva.

47:07

>> Um, and looking at these, it's really

47:10

about like it's a starting place for a

47:12

conversation, okay? Because you do need

47:15

to know where it's coming from and

47:17

what's the attribution, what's the

47:19

return attribution, where's it, where

47:21

you hoping it comes from, and what's the

47:22

risk attribution? And very importantly,

47:25

what could go wrong? um understanding

47:28

that what you're trying to achieve, but

47:30

knowing where the exits are. Like I

47:31

think it's really like a philosophy to

47:34

to risk and to managing risk to make

47:37

sure you're pointed to achieve your

47:39

goals

47:41

um while managing your risk properly and

47:45

knowing what you would do if things

47:47

changed. Right? You have a plan and then

47:49

things change.

47:51

>> Really, really interesting. What when

47:53

you're looking out at a variety of

47:55

different opportunities, what do you

47:57

think today presents the best risk

48:00

opportunity? You're looking at

48:02

structured credit, corporates, relative

48:04

value. What what what is really drawing

48:06

your attention?

48:07

>> Yeah, we really thought that one of the

48:09

places to extract from the flywheel is

48:11

in securitized markets.

48:13

>> Um actually, as an example, like we've

48:16

been very focused on um Trophy Quality

48:19

Office and Gateway Cities, and this goes

48:21

back a little ways. These are the super

48:23

a resident um commercial real estate

48:26

office, right? So that all came to be

48:28

from us pulling at the thread of how the

48:30

financial system works. We talked a

48:32

little bit about the new gibs and what

48:34

you had was everybody was going back to

48:35

work back to the office but took longer

48:37

than we kind looking back on it that

48:39

took a long time. The part of the

48:41

financial system that was changing were

48:43

those new GIBs Apollo Aries KKR

48:45

Blackstone Black Rockck and they were

48:47

coming back to office and they were

48:48

growing and they were finding that two

48:50

things. one, they needed nice offices to

48:52

kind of, you know, get everybody where

48:54

they wanted him to be, but also they

48:56

were growing and they outgrew what they

48:58

had. And then they went looking for

48:59

more. And what they found was there's

49:02

actually not that much trophy real

49:05

estate out there. And so like our view

49:07

on the evolving financial system led us

49:10

to have very strong conviction about a

49:12

supply demand imbalance in commercial

49:14

real estate when applied correctly. And

49:16

then we just looked for what's the best

49:18

place. and it's tightened a lot, but

49:21

actually we think it continues to and

49:23

has been because it's like the it's

49:26

continued to be one to two steps behind

49:29

the fundamentals. So what that really

49:31

means the way we think of to wrap it up

49:33

in a nutshell, this is a triple B bond

49:35

that we think is a double A. Hm. Really

49:38

really because everybody's painting with

49:39

a broad brush of hey forget B's even A

49:43

buildings are 60% occupied in terms of

49:47

>> but they're not they're 100% occupied

49:48

with

49:49

>> I mean in terms of staff returning to

49:50

office. So it's fully leased but the uh

49:53

what is it? Castle key cars are running

49:56

60% of prepandemic levels in a lot of

49:58

cities. But the A+, the bigger shops,

50:02

the JP Morgans, they want everybody back

50:04

in the office, as does Goldman Sachs, as

50:06

does a lot of these places. And they're

50:09

all in trophy properties.

50:10

>> And it's not just New York. It's uh

50:12

Miami. It's actually San Fran has come a

50:15

long way. There are certain buildings

50:16

there that we like. We actually, I would

50:18

say a little bit out of consensus, we

50:20

like DC, certain, not the government

50:22

buildings, but um nice offices. Like we

50:25

said, this is an administration that's

50:27

in the business of being in business,

50:28

which means you got to go see them and

50:30

make your case. You want to get some

50:32

business done, which means you need

50:34

lawyers with a nice conference room that

50:35

need a decent office and etc, etc. I

50:37

mean, like, it sounds a little glib, but

50:39

it's true.

50:39

>> It's the cost of doing business.

50:40

>> It's true. And so, you can see there are

50:42

certain companies that are buying

50:44

buildings, knocking them down in DC, and

50:47

building brand new ones. And there are

50:49

buildings that are being taken offline

50:50

to convert to resi. By the way,

50:52

everything we wrapped up in what we

50:54

said, the conversion from office resi is

50:56

actually spinning faster now in DC. Some

51:00

buildings are being con and just outside

51:02

DC, some buildings are being converted

51:03

to data centers.

51:05

>> So actually like stocks being removed

51:07

all the time. Anyways, it's just an

51:09

example of how like we're pulling on

51:11

threads and we're finding where we can

51:14

best take advantage of it and like what

51:16

are the next couple steps and ultimately

51:18

we're looking for what's something

51:21

that's already gotten better except the

51:22

price hasn't changed yet.

51:24

>> Huh. That's that's really that's really

51:26

interesting. You you've mentioned stress

51:29

scenarios a couple of times. Um we know

51:32

that correlations have a tendency to go

51:34

to one and liquidity disappears. Well, I

51:37

think I've seen that personally, right?

51:39

Liquidity disappears. Um,

51:42

>> I think I would just wrap that up. We I

51:44

make two comments to people. I say like

51:46

one, you don't go out of business

51:47

because of your assets. You go out of

51:49

business because your liabilities.

51:50

>> Uhhuh.

51:51

>> And when you start looking at that side

51:52

of the balance sheet first, then you

51:54

understand things a little bit better.

51:55

And then also, you know, with with my

51:58

traders and all the people I work for,

51:59

it's really great because some of the

52:00

people I hired a long time ago, they're

52:02

MDs at places now. It's I actually take

52:04

a lot of pride in the people I've worked

52:06

with who have gone on and done fantastic

52:08

things. I really really hate the phrase

52:11

money good. Okay, I don't think anybody

52:14

should be allowed to say it.

52:15

>> Um it is this like false crutch. I also

52:20

in many many conversations have said to

52:22

people, I think you're right. In fact,

52:24

you've convinced me. I believe you are

52:26

right. I'm just letting you know you're

52:28

going to get fired long before we know

52:29

the answer to this question. Okay, let's

52:31

take everything we thought, everything

52:32

we've known, and let's put it into the

52:34

context of how do we apply this in

52:36

markets? What's going to happen? What's

52:37

everybody else doing? And how do we take

52:40

advantage of that?

52:42

>> Huh. Really, really fascinating. Last

52:44

question before I get to my favorite

52:46

questions. What do you think investors

52:48

>> I thought those were your favorite

52:49

questions.

52:50

>> Oh, no. You'll you'll you'll see the

52:52

favorite questions. All right. Um, what

52:54

do you think investors in the credit and

52:56

alt space are not talking about but

52:59

perhaps should be? What topics, assets,

53:02

geographies, data points are getting

53:04

overlooked, but really shouldn't.

53:06

>> Yeah. So, it's a great question. Um, we

53:10

touched on a little bit. They're

53:11

underestimating the power of this

53:13

flywheel. Like with with the background

53:15

I've had and we've talked about and I've

53:17

seen a lot of things blow up like we

53:19

could come up with a lot of examples of

53:20

things that could go wrong. I think

53:22

they're underestimating

53:24

the things that could go right or what

53:26

the power of financing and um the

53:30

mechanics around financing and the

53:32

provision of liquidity and credit credit

53:35

spreads when they're good and when

53:36

they're tight and when the machine is

53:37

flowing what that financial engineering

53:39

can really do to both un recover value

53:42

and create value. I think they're

53:44

underestimating it really. The other

53:46

quick thing is

53:48

>> in the middle of the year

53:50

if Kevin Worsh ends up sitting in that

53:52

seat and if we get a little bit of the

53:54

the setup that he's looking for,

53:57

he's going to change everything, right?

53:59

So, he believes we're going to have a

54:01

big productivity dividend from AI and

54:03

we're going to have a big productivity

54:05

dividend from deregulation. And that

54:07

that would allow you to have lower rates

54:10

and a smaller Fed balance sheet at the

54:12

same time.

54:14

And if he gets a little bit of what he

54:16

needs to craft that argument,

54:19

we're going to have a very different

54:21

second half of 26 than the first half.

54:23

>> Really, really interesting. All right,

54:24

let's jump to our favorite questions,

54:26

our speed round. We'll get you guys out

54:28

of here at a reasonable time. Uh,

54:30

starting with who are your mentors who

54:32

helped shape your career?

54:35

>> Oh, I've worked for some pretty amazing

54:36

people. Um, and I tried to learn from

54:39

everyone. I just had the the bosses that

54:41

I've had are, you know, legends in this

54:43

industry, whether it's Bruce Richards,

54:46

TM Pirlo, oh, Jimmy Demar, Matt Z,

54:51

Daniel Pinto. I mean, these are got

54:53

these are people who defined these

54:54

markets. Um, and they all had a huge

54:57

impact on my career.

54:58

>> Really interesting. Let's talk about

55:00

books. What are you reading now? What

55:01

are some of your favorites?

55:03

Oh, you know, but like I am in front of

55:06

a computer screen and reading so much

55:08

and I read so much analytics, research,

55:10

etc. When I get home, it's a little bit

55:12

more like hang out with my wife and kids

55:13

and a little TV.

55:15

>> Uhhuh.

55:15

>> Um,

55:16

>> well, that's my next question. What are

55:18

you listening to or streaming?

55:20

>> Give us your favorite next Netflix,

55:22

Amazon Prime, whatever.

55:24

>> I will watch pretty much anything.

55:25

Taylor Sheridan, you know, like

55:27

>> we just finished season two of Land Man.

55:29

It's so good. like Land Man, all the

55:31

Yellow Stones, everyone. 198, 1823,

55:35

1920, all of those. Lionist, uh, any of

55:37

those. I'm a sucker.

55:38

>> Lionus was also great. There should be a

55:40

new season of that coming out one of

55:41

these days.

55:42

>> Uh, yeah, there is. I mean, I think I've

55:44

watched both seasons like a hundred

55:46

times.

55:47

>> Final two questions. What sort of advice

55:49

would you give to a college grad

55:51

interest in a career in investing,

55:54

credit, trading, what have you? I just

55:56

think it's not, you know, it doesn't

55:58

have to be a commitment for life. Just

56:00

look at it as what's something I'm

56:03

interested in being interested in. I

56:05

think you can pick the kind of people

56:06

you work with and you want to be around

56:08

good people who will teach you, who will

56:10

support what you're doing, and just say,

56:12

I'm going to give this a spin for three

56:13

to five years, and if I like it, I love

56:16

it, um, maybe I'll sign up for another

56:18

five. Um, but you know, you have an

56:21

opportunity to try something out and see

56:22

if it's for you. And our final question,

56:25

what do you know about the world of

56:26

trading credit, investing in alternative

56:30

sources of of liquidity and other

56:33

products that would have been helpful 25

56:36

or so years ago when you were just

56:38

getting your legs under you?

56:40

>> I wish I knew a fraction

56:42

of what we are applying at MARIC any

56:45

point before we did this. If I knew a

56:49

drop of what we're doing when I sat in

56:52

other seats. Yeah, I'll put that all in

56:54

the I wish I knew bucket.

56:56

>> Really, really absolutely fascinating.

56:58

Matt, thank you for being so generous

57:01

>> with your time. We have been speaking

57:02

with Matt Cherin. He's co-founder and

57:05

chief investment officer of Mar Capital.

57:08

If you enjoy this conversation, well, be

57:10

sure and check out any of the previous

57:13

600 or so we've done over the past 12

57:16

years. You can find those at iTunes,

57:18

Spotify,

57:20

um, Bloomberg, YouTube, wherever you get

57:23

your favorite podcasts. I would be

57:26

remiss if I didn't thank the Crack team

57:27

that helps us put these conversations

57:29

together each week. Alexis Noriega is my

57:32

video producer. Sean Russo is my

57:36

researcher. Anna Luke is my podcast

57:38

producer. I'm Barry Roltz. You've been

57:41

listening to Masters in Business on

57:44

Bloomberg Radio.

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